Reinforcement Learning
stable-baselines3
SpaceInvadersNoFrameskip-v4
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use Apocalypse-19/dqn-SpaceInvaders-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use Apocalypse-19/dqn-SpaceInvaders-v2 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="Apocalypse-19/dqn-SpaceInvaders-v2", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download replay.mp4 from Apocalypse-19/dqn-SpaceInvaders-v2: direct link, hf CLI and curl.
- Browser
- Download file 201 kB
-
https://huggingface.co/Apocalypse-19/dqn-SpaceInvaders-v2/resolve/main/replay.mp4
- Command line
-
hf download hf://Apocalypse-19/dqn-SpaceInvaders-v2/replay.mp4
-
curl -L -o replay.mp4 https://huggingface.co/Apocalypse-19/dqn-SpaceInvaders-v2/resolve/main/replay.mp4
201 kB
- Xet hash:
- 76fb594e4ae02c189884ffdfefc3f35ef31e1e74e4229ce016402aaaabd31a83
- Size of remote file:
- 201 kB
- SHA256:
- 2b4597f0d4f3c70d9258d95086be8210cd65fde02a0e1b927fca9d2fb797a48a
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